Evidence map›Paper›PMID 40837156›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine

Psychometric Analysis of Young's Internet Addiction Test among High School Students of North India.

Sunidhi Karol, Meenal M Thakare, Purushottam A Giri, Mohit Karol, Minnat Sharma, Rishab Dhiman

Abstract read
In one paragraph

Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sunidhi KarolDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Bilaspur, Himachal Pradesh, India.
Meenal M ThakareDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Bilaspur, Himachal Pradesh, India.
Purushottam A GiriDepartment of Community Medicine, IIMSR Medical College, Badnapur, Maharashtra, India.
Mohit KarolDepartment of Pediatrics, SLBSMC and H at Nerchowk, Mandi, Himachal Pradesh, India.
Minnat SharmaDepartment of Pathology, VMMC Safdarjung, New Delhi, India.
Rishab DhimanDepartment of CFM, AIIMS, Bilaspur, Himachal Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Internet addiction is a serious problem that can negatively impact both the physical and mental health of adolescents. The Internet Addiction Test (IAT) is the most commonly used instrument to screen internet addiction worldwide. The study investigated the psychometric properties of the Hindi version of young's IAT. School-based, descriptive, cross-sectional study design. Methods and Materials: The Hindi version of the IAT questionnaire was used to estimate internet addiction. Factor structure was analyzed by exploratory (EFA) and confirmatory factor (CFA) analyses, whereas reliability was measured with Cronbach's alpha coefficient. EFA, CFA, MANOVA, and logistic regression model. Results: Factor analysis revealed that the Hindi version of IAT consisted of a two-factor model, and had good validity (χ Conclusions: The Hindi version of IAT provides good validity and reliability in a two-factor model. Therefore, it can be utilized as a tool for screening internet addiction in the Hindi-speaking population of India.

Indexed as

High school studentsIATpsychometric analysis

Identifiers

PMID40837156
PMCPMC12364294

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